An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...
Images can be noisy, and you likely want to have this noise removed. Traditional noise removal filters can be used for this purpose, but they're not data-specific - and hence may remove more noise ...
Abstract: Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed ...
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